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Nov 15, 2023 ， This review aims to identify the available methodologies, data, and techniques for mapping the potential of solar and wind energy and its complementarity
Jul 4, 2024 ， In this study, we develop a short-term solar irradiance forecasting model with a high time resolution to accurately predict the amount of solar energy ...
Apr 22, 2024 ， The objective of the mission is to obtain geostationary meteorological data for monitoring of meteorological phenomena in the Asia-Oceania region.
[PDF] Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance ...
aeis.bilijipub.com › ...
Sep 30, 2024 ， Various models and methods are employed to forecast solar irradiance, encompassing physical approaches such as numerical weather prediction. (NWP) models, ...
Sep 15, 2024 ， With comprehensive coverage of the state of the art in solar resource assessment and forecasting, this handbook serves as a reference document for a wide range ...
Jul 2, 2024 ， This paper establishes a multivariable sea fog forecast (MV-SFF) data set and proposes a deep learning-based forecast method named rich-element aggregated (REA) ...
Feb 22, 2024 ， This model is designed to predict all possible meteorological elements over the Korean Peninsula with a 5-km horizontal resolution. Forecasts are generated ...
Jul 19, 2024 ， In this study, both a conventional MLE AOD fusion algorithm and a DNN-based AOD fusion algorithm have been developed and validated using aerosol products from ...
Aug 12, 2024 ， In this paper, we develop and test a satellite irradiance model with short-term prediction capabilities using cloud motion vectors.
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Apr 18, 2024 ， In this study, a multilayer perceptron type artificial neural network model was built to estimate the monthly mean SD for Türkiye using the EUMETSAT CM SAF
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